Formation of Secondary Organic Aerosol from the Heterogeneous Oxidation by Ozone of a Phytoplankton Culture
Why this work is in the frame
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Bibliographic record
Abstract
The sea surface microlayer (SSML) is often present at the ocean interface and provides a unique environment for chemical reactions to occur. One such reaction is the heterogeneous oxidation of the SSML components with ozone, which is hypothesized to be an important source of volatile compounds that may participate in marine aerosol formation and growth. To better understand this source, a biologically relevant model SSML is constructed using axenic Thalassiosira pseudonana cultures. This model SSML is shown to be reasonably reproducible for repeated experiments with a biological system and offers considerably more chemical and morphological complexities than single-molecule SSML representations for trying to understand the impact of marine biological processes on the atmosphere. Using proton transfer reaction mass spectrometry, this study demonstrates that C7–C10 gas-phase carbonyls arise from the oxidation of the model SSML with ozone. The ability of gas-phase products of ozone oxidation at the SSML to form aerosol particles was investigated with a scanning mobility particle sizer analyzer to determine the particle size and concentration of newly formed ultrafine aerosol particles. These particles are confirmed to be secondary organic aerosol (SOA) by analyzing their composition with an aerosol mass spectrometer, indicating that the source of the aerosol precursors is the organic material generated by the T. pseudonana cultures. The rates of SOA and carbonyl production are larger for 21 day-old cultures than for 7 day-old cultures, likely due to the release of the organic material from cell lysis in the older cultures. By demonstrating that the heterogeneous oxidation of the SSML forms SOA precursors that contribute to aerosol growth, this study emphasizes the importance of biological processes on the chemical reactions that can occur within the SSML.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it